@Author: WANG Shixiong (Email: [email protected]; [email protected])

@Affiliate: Institute of Data Science, National University of Singapore

@Date: First Uploaded Jan 31, 2023; Last Updated 12 Oct 2023

MATLAB Version: 2019B or later

Online supplementary materials of the paper titled

Distributionally Robust State Estimation for Jump Linear Systems

Published in the IEEE Transactions on Signal Processing (DOI: 10.1109/TSP.2023.3322802)

By Shixiong Wang

From the Institute of Data Science, National University of Singapore

Codes

• The folder "[1] Simulation" contains all the source data and codes for the simulated target tracking example.

• The folder "[2] Real - Car" contains all the source data and codes for the real-world target tracking example of a car.

• The folder "[3] Real - Drone" contains all the source data and codes for the real-world target tracking example of a drone.

See Also

Distributionally Robust State Estimation for Nonlinear Systems

Distributionally Robust State Estimation for Linear Systems Subject to Uncertainty and Outlier

Robust State Estimation for Linear Systems Under Distributional Uncertainty

Warrant

Files/codes here are allowed to be edited, distributed, and re-used for any academic/teaching purpose without any warranty. However, you are strongly suggested sharing your codes with publics if you are planning to use codes here. Let's work together to guarantee the reproducibility of experiments and the verifiability of claims in publications. We believe that this is meaningful to facilitate future research of the signal processing community.

Disclaimer

Note that the mentioned reproducibility and verifiability do not necessarily guarantee the (absolute) correctness of academic claims in a scitific publication. Future research may deny or modify or improve the philosophies, methods, models, and/or claims conveyed in this article. But readers should not try to "find bones from an egg", and codes here are just for their reference, not for their unfriendly criticism. Of course, the authors are open to learn and friendly comments are always welcomed.